Shen Hui, He Ying, Lu Fan, Lu Xiaoting, Yang Bining, Liu Yi, Guo Qiang
Department of Emergency, The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital), Suzhou, Jiangsu 215000, China.
Department of Pulmonary and Critical Care Medicine, The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital), Suzhou, Jiangsu 215000, China.
Chin Med J Pulm Crit Care Med. 2024 Jun 20;2(2):106-118. doi: 10.1016/j.pccm.2024.05.004. eCollection 2024 Jun.
It is well-known that body composition metrics can influence the prognosis of various diseases. This study investigated how body composition metrics predict acute respiratory distress syndrome (ARDS) prognosis, focusing on the ratio of visceral fat area (VFA) to subcutaneous fat area (SFA), SFA to standard body weight (SBW), VFA to SBW, and muscle area (MA) to SBW. These metrics were assessed at the level of the twelfth thoracic vertebra (T12 computed tomography [CT] level) to determine their correlation with the outcomes of ARDS. The goal was to utilize these findings to refine and personalize treatment strategies for ARDS.
Patients with ARDS admitted to the intensive care units (ICUs) of three hospitals from January 2016 to July 2023 were enrolled in this study. Within 24 hours of ARDS onset, we obtained chest CT scans to measure subcutaneous fat, visceral fat, and muscle area at the T12 level. We then compared these ratios between survivors and non-survivors. Logistic regression was employed to identify prognostic risk factors. Receiver operating characteristic (ROC) curve analysis was utilized to determine the optimal cutoff for predictors of in-hospital mortality. Based on this cutoff, patients with ARDS were stratified. To reduce confounding factors, 1:1 propensity score matching (PSM) was applied. We conducted analyses of clinical feature and prognostic differences pre- and post-PSM between the stratified groups. Additionally, Kaplan-Meier survival curves were generated to compare the survival outcomes of these groups.
Of 258 patients with ARDS, 150 survived and 108 did not. Non-survivors had a higher VFA/SFA ratio ( <0.001) and lower SFA/SBW and MA/SBW ratios (both <0.001). Key risk factors were high VFA/SFA ratio (OR=2.081; =0.008), age, acute physiology and chronic health evaluation (APACHE) II score, and lactate levels, while MA/SBW and albumin were protective. Patients with a VFA/SFA ratio ≥0.73 were associated with increased mortality, while those with an MA/SBW ratio >1.55 cm²/kg had lower mortality, both pre- and post-PSM (=0.001 and <0.001, respectively). Among 170 patients with pulmonary-origin ARDS, 87 survived and 83 did not. The non-survivor group showed a higher VFA/SFA ratio ( <0.001) and lower SFA/SBW and MA/SBW (=0.003, <0.001, respectively). Similar risk and protective factors were observed in this cohort. For VFA/SFA, a value above the cutoff of 1.01 predicted higher mortality, while an MA/SBW value below the cutoff of 1.48 cm²/kg was associated with increased mortality (both <0.001 pre-/post-PSM).
Among all patients with ARDS, the VFA to SFA ratio, MA to SBW ratio at the T12 level, age, APACHE II score, and lactate levels emerged as independent risk factors for mortality.
众所周知,身体成分指标会影响各种疾病的预后。本研究调查了身体成分指标如何预测急性呼吸窘迫综合征(ARDS)的预后,重点关注内脏脂肪面积(VFA)与皮下脂肪面积(SFA)的比值、SFA与标准体重(SBW)的比值、VFA与SBW的比值以及肌肉面积(MA)与SBW的比值。在第十二胸椎(T12计算机断层扫描[CT]水平)评估这些指标,以确定它们与ARDS预后的相关性。目的是利用这些发现来优化和个性化ARDS的治疗策略。
纳入2016年1月至2023年7月在三家医院重症监护病房(ICU)收治的ARDS患者。在ARDS发病后24小时内,我们获取胸部CT扫描以测量T12水平的皮下脂肪、内脏脂肪和肌肉面积。然后我们比较了幸存者和非幸存者之间的这些比值。采用逻辑回归来确定预后危险因素。利用受试者工作特征(ROC)曲线分析来确定院内死亡率预测指标的最佳截断值。基于此截断值,对ARDS患者进行分层。为减少混杂因素,应用1:1倾向评分匹配(PSM)。我们对分层组PSM前后的临床特征和预后差异进行了分析。此外,生成了Kaplan-Meier生存曲线以比较这些组的生存结果。
258例ARDS患者中,150例存活,108例未存活。非幸存者的VFA/SFA比值较高(<0.001),SFA/SBW和MA/SBW比值较低(均<0.001)。关键危险因素为高VFA/SFA比值(OR=2.081;=0.008)、年龄、急性生理与慢性健康状况评估(APACHE)II评分和乳酸水平,而MA/SBW和白蛋白具有保护作用。VFA/SFA比值≥0.73的患者死亡率增加,而MA/SBW比值>1.55 cm²/kg的患者死亡率较低,PSM前后均如此(分别为=0.001和<0.001)。在170例肺源性ARDS患者中,87例存活,83例未存活。非存活组的VFA/SFA比值较高(<0.001),SFA/SBW和MA/SBW较低(分别为=0.003,<0.001)。在该队列中观察到类似的危险因素和保护因素。对于VFA/SFA,高于截断值1.01预测较高死亡率,而MA/SBW值低于截断值1.48 cm²/kg与死亡率增加相关(PSM前后均<0.001)。
在所有ARDS患者中,T12水平的VFA与SFA比值、MA与SBW比值、年龄、APACHE II评分和乳酸水平是死亡率的独立危险因素。